Technology

A well-established insurance company is looking to hire a Senior Data Engineer to join its growing data team. This is an opportunity to work on meaningful data challenges, helping to build and scale data platforms that support critical business insights and drive smarter decision-making across the organisation. The successful candidate will play a key role in designing robust data pipelines, optimising data workflows, and collaborating with analytics, engineering, and business teams to unlock the full value of the company's data assets.Key responsibilities:Design, build, and maintain scalable data pipelines for batch and real-time processingDevelop and optimise data models to support analytics, reporting, and machine learning initiativesWork closely with data scientists, analysts, and engineers to deliver reliable data solutionsEnsure data quality, integrity, and security across the platformContribute to the modernisation of the data infrastructure, supporting the transition to cloud-based environments About you:Strong skills in SQL, Python, and data engineering frameworks (e.g. Apache Spark, Kafka, Airflow)Experience designing and implementing data pipelines in cloud environments (AWS, GCP, or Azure)Solid understanding of data modelling, ETL/ELT processes, and best practices for data warehousingFamiliarity with data governance, privacy, and compliance standardsBonus: experience in the insurance or financial services sector

We've partnered with an AI focused startup to hire an AI Engineer to join as one of its early technical hires. This is an opportunity to work at the forefront of machine learning and large language models (LLMs), helping to transform the Financial Services industry through cutting-edge AI solutions.The successful candidate will collaborate with the product and engineering team to design, build, and deploy models that solve real-world problems - delivering meaningful impact and shaping the future of the platform.About the role:Develop, fine-tune, and deploy deep learning models and LLMs to power innovative featuresDesign and maintain scalable data pipelines for training, evaluation, and real-time inferencePrototype and implement retrieval-augmented generation (RAG) systems and embedding-based searchCollaborate with product and engineering stakeholders to identify and deliver AI-driven solutionsTake ownership of model deployment, monitoring, optimisation, and continuous improvement About you:Strong Python programming skills, with experience in frameworks such as PyTorch, TensorFlow, or JAXSolid understanding of modern machine learning techniques, particularly NLP, LLMs, and generative AIExperience deploying models in cloud environments (e.g. AWS, GCP)Bonus: experience with vector databases (Pinecone, Weaviate, Chroma) and RAG architectures This is a unique opportunity to join a well-funded AI startup at an early stage, contribute directly to the core technology, and play a key role in shaping the company's future.

A leading diversified conglomerate is building out a new enterprise architecture function and is looking for a visionary leader to head this capability. This is a greenfield opportunity to define and scale an EA practice from the ground up-starting with a small team of domain-specific Architects-with a clear focus on leveraging AI, data, and technology innovation to drive business transformation across a group of consumer-focused companies.About the role: This role will be central to shaping and executing the enterprise architecture strategy, with a specific mandate to harness artificial intelligence and emerging technologies to unlock new business value. You'll align IT systems and architecture with commercial goals, with a sharp focus on improving consumer experience, operational agility, and data-driven decision-making.Key responsibilities:Define and lead a modern EA strategy that embeds AI, data, and automation at its core.Build and mentor a team of domain architects, fostering a culture of innovation and continuous improvement.Establish and enforce architecture standards and governance frameworks (e.g., TOGAF, Zachman).Design scalable, future-ready technology solutions that support business objectives across the group.Identify and drive adoption of emerging technologies that enhance consumer engagement and operational efficiency.Translate business and consumer strategies into IT roadmaps and digital transformation initiatives.Modernise legacy systems and integrate digital platforms to support business agility.Collaborate with senior leadership to ensure EA delivers measurable commercial impact. About you:Proven experience in driving AI and data-led enterprise architecture initiatives.Strong grasp of cloud platforms (AWS, Azure, GCP), microservices, APIs, and modern data architectures.Deep understanding of how to apply technology innovation in direct-to-consumer businesses (e.g., Retail, FMCG, Manufacturing, Pharma).Familiarity with enterprise systems (ERP, CRM, HCM) and how to optimise them for customer-centric outcomes.Strategic thinker with the ability to influence at C-level and drive change across multiple business units.Skilled at balancing long-term architectural vision with immediate business needs and execution.Strong leadership, communication, and stakeholder management skills.

A fast-growing fintech company is seeking a Data Science Manager to lead a high-performing team of data scientists and analysts. This role is ideal for a hands-on leader with a passion for innovation, financial technology, and data-driven decision-making.About the role:Lead and mentor a team of data scientists, promoting a collaborative and high-performance culture.Design and implement advanced models for risk scoring, fraud detection, credit analytics, and customer segmentation.Partner with engineering, product, and compliance teams to integrate data science solutions into scalable fintech products.Own the full lifecycle of data projects from ideation to deployment and ongoing performance monitoring.Translate complex data insights into clear strategic recommendations for executive stakeholders.Ensure data governance, model explainability, and ethical AI practices are embedded in all initiatives. About You:Proven experience in data science, with at least 2 years in a leadership role.Strong background in statistics, machine learning, and predictive modeling.Proficiency in Python, SQL, and cloud-based data platforms (e.g., AWS, GCP, or Azure).Experience in a fintech or financial services environment is highly preferred.Excellent communication skills and the ability to influence both technical and non-technical stakeholders. What's on Offer:Competitive salary and equity optionsOpportunity to shape the future of financial technology through dataFlexible working arrangements and a strong culture of innovationExposure to complex, real-world data problems at scale

A leading bank is hiring a Machine Learning Engineer to join its growing data and technology team. The successful candidate will be instrumental in developing and deploying machine learning solutions that enhance customer experience, streamline operations, and strengthen risk management.About the role:Develop, deploy, and maintain machine learning models across various banking use cases, including fraud detection, credit scoring, and customer insights.Collaborate with cross-functional teams to understand business challenges and translate them into scalable ML solutions.Implement data pipelines and model monitoring systems to ensure performance and compliance.Work with large, complex datasets and apply best practices in data governance and security.Stay current with developments in AI/ML and proactively suggest new approaches and technologies. About you:Proven experience (5+ years) in a machine learning or applied data science role.Strong programming skills in Python, with experience using ML frameworks such as scikit-learn, TensorFlow, or PyTorch.Hands-on experience with cloud platforms (AWS, Azure, or GCP) and containerization technologies.Strong grasp of software engineering principles and version control.Previous experience in financial services or regulated industries is highly advantageous.

We're partnered with an established tech company at the forefront of AI innovation, and they're looking to hire a Security Engineer with a strong focus on AI/ML systems. This is an opportunity to join a high-impact team working on the next generation of machine learning platforms-where security, trust, and resilience are core to the mission.About the role: You'll play a critical role in securing the company's AI/ML infrastructure, helping to build out end-to-end safeguards across data pipelines, model training environments, and deployment systems. This is a hands-on engineering role for someone who understands both traditional security practices and the unique challenges posed by modern AI/ML stacks.Key responsibilities include:Designing and implementing security controls tailored to AI/ML workflowsIdentifying and mitigating ML-specific risks (e.g., model theft, adversarial inputs, data poisoning)Working closely with engineering and data science teams to embed security into model lifecyclesDeveloping tooling and automation for secure deployment and continuous monitoringStaying current on the evolving threat landscape in AI and contributing to internal knowledge sharing About you:5+ years of experience in security engineering, ideally with exposure to ML systemsStrong knowledge of threat modeling, secure coding, and cloud infrastructure security (AWS/GCP/Azure)Familiarity with ML frameworks (e.g., PyTorch, TensorFlow) and data platforms (e.g., Spark, Airflow)Proficiency in scripting or software development (Python preferred)Bonus: Experience in areas like LLM security, model interpretability, or data governance

We're looking for a BI Engineer who lives and breathes Power BI-and knows the surrounding Azure stack inside out. You'll play a key role in building scalable, insightful data solutions that drive real business decisions. This isn't just about dashboards. It's about understanding the why behind the data and delivering meaningful outcomes. What we're looking for:Deep expertise in Power BI - from data modeling and DAX to custom visuals and Power BI Service.Hands-on experience across the Azure data ecosystem - including Azure Data Factory, Azure Synapse, Azure SQL, and Azure Data Lake.Strong SQL skills and an understanding of ETL processes.Ability to partner with stakeholders to translate business questions into data-driven insights.Comfortable working independently in a fast-paced, product-led environment.

We are hiring an AI Engineer to join a new team solving real-world problems with machine learning and LLMs within the Financial Services industry.You'll be working alongside product managers and engineers to design, build, and deploy models into production-impacting thousands of users and influencing product direction. The team values clean, scalable code and a pragmatic approach to experimentation.What you'll be doing:Developing and fine-tuning ML models (including deep learning and LLMs)Building and maintaining data pipelines for model training and evaluationCollaborating on model deployment, monitoring, and performance tuningWorking closely with stakeholders to identify opportunities for ML-driven features What we're looking for:Strong Python skills and experience with ML frameworks (e.g. PyTorch, TensorFlow)Solid understanding of modern ML techniques, especially NLP and generative AIExperience working with cloud environments (AWS/GCP/Azure)Bonus: experience with vector databases, embeddings, and retrieval-augmented generation

A leading diversified conglomerate is building a future-ready technology function at group level. We're hiring a visionary VP of Enterprise Architecture to shape and execute the enterprise-wide tech strategy, with a bold focus on AI, data, and digital transformation. Sitting within the Group CIO's office, this role isn't just about technology alignment - it's about leading how a group of businesses harness artificial intelligence and data-driven insights to gain competitive edge, modernise at scale, and innovate faster. You'll lead a newly-formed architecture team and set the vision that underpins how the group evolves in the age of AI. If you're passionate about building intelligent, scalable systems that transform business models - and want the platform to do it across industries - this is your opportunity. This is your chance to shape the technology blueprint for a group of businesses poised to lead in the AI era. About the role:Lead with vision. Own and drive the group's enterprise architecture strategy with a sharp focus on AI-first and data-centric solutions.Embed intelligence at scale. Partner with data science, analytics, and AI teams to define how machine learning, predictive analytics, and automation integrate across platforms and business domains.Future-proof the stack. Champion modern, cloud-native, and modular architecture that accelerates innovation while enabling robust AI deployment and experimentation.Transform legacy. Modernise outdated systems and lead a shift toward intelligent platforms and real-time data infrastructure.Drive alignment. Work directly with the C-suite and business leaders to translate business ambition into technology roadmaps that prioritise AI-readiness and scalability.Establish guardrails. Define and enforce architecture frameworks (e.g., TOGAF, Zachman) that enable agility while maintaining governance.Inspire talent. Lead a high-performing team of architects across key domains, and build a collaborative culture centred on innovation and value delivery. About you:Deep experience in enterprise architecture with a track record of embedding AI and data strategies into core business systems.Technical fluency in AI/ML platforms, data pipelines, cloud (AWS, Azure, GCP), and modern architecture principles (microservices, APIs, event-driven systems).Proven ability to design scalable, secure, and intelligent enterprise environments across multiple business models and tech stacks.Strong leadership and stakeholder management skills - confident influencing C-level stakeholders and guiding diverse teams toward a shared vision.Deep understanding of ERP, CRM, HCM, and how to evolve them for an AI-enabled future.Domain knowledge in retail, FMCG, manufacturing, pharma, or other consumer-facing sectors is highly valued.

A well-established insurance company is looking to hire a Senior Data Engineer to join its growing data team. This is an opportunity to work on meaningful data challenges, helping to build and scale data platforms that support critical business insights and drive smarter decision-making across the organisation. The successful candidate will play a key role in designing robust data pipelines, optimising data workflows, and collaborating with analytics, engineering, and business teams to unlock the full value of the company's data assets.Key responsibilities:Design, build, and maintain scalable data pipelines for batch and real-time processingDevelop and optimise data models to support analytics, reporting, and machine learning initiativesWork closely with data scientists, analysts, and engineers to deliver reliable data solutionsEnsure data quality, integrity, and security across the platformContribute to the modernisation of the data infrastructure, supporting the transition to cloud-based environments About you:Strong skills in SQL, Python, and data engineering frameworks (e.g. Apache Spark, Kafka, Airflow)Experience designing and implementing data pipelines in cloud environments (AWS, GCP, or Azure)Solid understanding of data modelling, ETL/ELT processes, and best practices for data warehousingFamiliarity with data governance, privacy, and compliance standardsBonus: experience in the insurance or financial services sector

We've partnered with an AI focused startup to hire an AI Engineer to join as one of its early technical hires. This is an opportunity to work at the forefront of machine learning and large language models (LLMs), helping to transform the Financial Services industry through cutting-edge AI solutions.The successful candidate will collaborate with the product and engineering team to design, build, and deploy models that solve real-world problems - delivering meaningful impact and shaping the future of the platform.About the role:Develop, fine-tune, and deploy deep learning models and LLMs to power innovative featuresDesign and maintain scalable data pipelines for training, evaluation, and real-time inferencePrototype and implement retrieval-augmented generation (RAG) systems and embedding-based searchCollaborate with product and engineering stakeholders to identify and deliver AI-driven solutionsTake ownership of model deployment, monitoring, optimisation, and continuous improvement About you:Strong Python programming skills, with experience in frameworks such as PyTorch, TensorFlow, or JAXSolid understanding of modern machine learning techniques, particularly NLP, LLMs, and generative AIExperience deploying models in cloud environments (e.g. AWS, GCP)Bonus: experience with vector databases (Pinecone, Weaviate, Chroma) and RAG architectures This is a unique opportunity to join a well-funded AI startup at an early stage, contribute directly to the core technology, and play a key role in shaping the company's future.

A leading diversified conglomerate is building out a new enterprise architecture function and is looking for a visionary leader to head this capability. This is a greenfield opportunity to define and scale an EA practice from the ground up-starting with a small team of domain-specific Architects-with a clear focus on leveraging AI, data, and technology innovation to drive business transformation across a group of consumer-focused companies.About the role: This role will be central to shaping and executing the enterprise architecture strategy, with a specific mandate to harness artificial intelligence and emerging technologies to unlock new business value. You'll align IT systems and architecture with commercial goals, with a sharp focus on improving consumer experience, operational agility, and data-driven decision-making.Key responsibilities:Define and lead a modern EA strategy that embeds AI, data, and automation at its core.Build and mentor a team of domain architects, fostering a culture of innovation and continuous improvement.Establish and enforce architecture standards and governance frameworks (e.g., TOGAF, Zachman).Design scalable, future-ready technology solutions that support business objectives across the group.Identify and drive adoption of emerging technologies that enhance consumer engagement and operational efficiency.Translate business and consumer strategies into IT roadmaps and digital transformation initiatives.Modernise legacy systems and integrate digital platforms to support business agility.Collaborate with senior leadership to ensure EA delivers measurable commercial impact. About you:Proven experience in driving AI and data-led enterprise architecture initiatives.Strong grasp of cloud platforms (AWS, Azure, GCP), microservices, APIs, and modern data architectures.Deep understanding of how to apply technology innovation in direct-to-consumer businesses (e.g., Retail, FMCG, Manufacturing, Pharma).Familiarity with enterprise systems (ERP, CRM, HCM) and how to optimise them for customer-centric outcomes.Strategic thinker with the ability to influence at C-level and drive change across multiple business units.Skilled at balancing long-term architectural vision with immediate business needs and execution.Strong leadership, communication, and stakeholder management skills.

A fast-growing fintech company is seeking a Data Science Manager to lead a high-performing team of data scientists and analysts. This role is ideal for a hands-on leader with a passion for innovation, financial technology, and data-driven decision-making.About the role:Lead and mentor a team of data scientists, promoting a collaborative and high-performance culture.Design and implement advanced models for risk scoring, fraud detection, credit analytics, and customer segmentation.Partner with engineering, product, and compliance teams to integrate data science solutions into scalable fintech products.Own the full lifecycle of data projects from ideation to deployment and ongoing performance monitoring.Translate complex data insights into clear strategic recommendations for executive stakeholders.Ensure data governance, model explainability, and ethical AI practices are embedded in all initiatives. About You:Proven experience in data science, with at least 2 years in a leadership role.Strong background in statistics, machine learning, and predictive modeling.Proficiency in Python, SQL, and cloud-based data platforms (e.g., AWS, GCP, or Azure).Experience in a fintech or financial services environment is highly preferred.Excellent communication skills and the ability to influence both technical and non-technical stakeholders. What's on Offer:Competitive salary and equity optionsOpportunity to shape the future of financial technology through dataFlexible working arrangements and a strong culture of innovationExposure to complex, real-world data problems at scale

A leading bank is hiring a Machine Learning Engineer to join its growing data and technology team. The successful candidate will be instrumental in developing and deploying machine learning solutions that enhance customer experience, streamline operations, and strengthen risk management.About the role:Develop, deploy, and maintain machine learning models across various banking use cases, including fraud detection, credit scoring, and customer insights.Collaborate with cross-functional teams to understand business challenges and translate them into scalable ML solutions.Implement data pipelines and model monitoring systems to ensure performance and compliance.Work with large, complex datasets and apply best practices in data governance and security.Stay current with developments in AI/ML and proactively suggest new approaches and technologies. About you:Proven experience (5+ years) in a machine learning or applied data science role.Strong programming skills in Python, with experience using ML frameworks such as scikit-learn, TensorFlow, or PyTorch.Hands-on experience with cloud platforms (AWS, Azure, or GCP) and containerization technologies.Strong grasp of software engineering principles and version control.Previous experience in financial services or regulated industries is highly advantageous.

We're partnered with an established tech company at the forefront of AI innovation, and they're looking to hire a Security Engineer with a strong focus on AI/ML systems. This is an opportunity to join a high-impact team working on the next generation of machine learning platforms-where security, trust, and resilience are core to the mission.About the role: You'll play a critical role in securing the company's AI/ML infrastructure, helping to build out end-to-end safeguards across data pipelines, model training environments, and deployment systems. This is a hands-on engineering role for someone who understands both traditional security practices and the unique challenges posed by modern AI/ML stacks.Key responsibilities include:Designing and implementing security controls tailored to AI/ML workflowsIdentifying and mitigating ML-specific risks (e.g., model theft, adversarial inputs, data poisoning)Working closely with engineering and data science teams to embed security into model lifecyclesDeveloping tooling and automation for secure deployment and continuous monitoringStaying current on the evolving threat landscape in AI and contributing to internal knowledge sharing About you:5+ years of experience in security engineering, ideally with exposure to ML systemsStrong knowledge of threat modeling, secure coding, and cloud infrastructure security (AWS/GCP/Azure)Familiarity with ML frameworks (e.g., PyTorch, TensorFlow) and data platforms (e.g., Spark, Airflow)Proficiency in scripting or software development (Python preferred)Bonus: Experience in areas like LLM security, model interpretability, or data governance

We're looking for a BI Engineer who lives and breathes Power BI-and knows the surrounding Azure stack inside out. You'll play a key role in building scalable, insightful data solutions that drive real business decisions. This isn't just about dashboards. It's about understanding the why behind the data and delivering meaningful outcomes. What we're looking for:Deep expertise in Power BI - from data modeling and DAX to custom visuals and Power BI Service.Hands-on experience across the Azure data ecosystem - including Azure Data Factory, Azure Synapse, Azure SQL, and Azure Data Lake.Strong SQL skills and an understanding of ETL processes.Ability to partner with stakeholders to translate business questions into data-driven insights.Comfortable working independently in a fast-paced, product-led environment.

We are hiring an AI Engineer to join a new team solving real-world problems with machine learning and LLMs within the Financial Services industry.You'll be working alongside product managers and engineers to design, build, and deploy models into production-impacting thousands of users and influencing product direction. The team values clean, scalable code and a pragmatic approach to experimentation.What you'll be doing:Developing and fine-tuning ML models (including deep learning and LLMs)Building and maintaining data pipelines for model training and evaluationCollaborating on model deployment, monitoring, and performance tuningWorking closely with stakeholders to identify opportunities for ML-driven features What we're looking for:Strong Python skills and experience with ML frameworks (e.g. PyTorch, TensorFlow)Solid understanding of modern ML techniques, especially NLP and generative AIExperience working with cloud environments (AWS/GCP/Azure)Bonus: experience with vector databases, embeddings, and retrieval-augmented generation

A leading diversified conglomerate is building a future-ready technology function at group level. We're hiring a visionary VP of Enterprise Architecture to shape and execute the enterprise-wide tech strategy, with a bold focus on AI, data, and digital transformation. Sitting within the Group CIO's office, this role isn't just about technology alignment - it's about leading how a group of businesses harness artificial intelligence and data-driven insights to gain competitive edge, modernise at scale, and innovate faster. You'll lead a newly-formed architecture team and set the vision that underpins how the group evolves in the age of AI. If you're passionate about building intelligent, scalable systems that transform business models - and want the platform to do it across industries - this is your opportunity. This is your chance to shape the technology blueprint for a group of businesses poised to lead in the AI era. About the role:Lead with vision. Own and drive the group's enterprise architecture strategy with a sharp focus on AI-first and data-centric solutions.Embed intelligence at scale. Partner with data science, analytics, and AI teams to define how machine learning, predictive analytics, and automation integrate across platforms and business domains.Future-proof the stack. Champion modern, cloud-native, and modular architecture that accelerates innovation while enabling robust AI deployment and experimentation.Transform legacy. Modernise outdated systems and lead a shift toward intelligent platforms and real-time data infrastructure.Drive alignment. Work directly with the C-suite and business leaders to translate business ambition into technology roadmaps that prioritise AI-readiness and scalability.Establish guardrails. Define and enforce architecture frameworks (e.g., TOGAF, Zachman) that enable agility while maintaining governance.Inspire talent. Lead a high-performing team of architects across key domains, and build a collaborative culture centred on innovation and value delivery. About you:Deep experience in enterprise architecture with a track record of embedding AI and data strategies into core business systems.Technical fluency in AI/ML platforms, data pipelines, cloud (AWS, Azure, GCP), and modern architecture principles (microservices, APIs, event-driven systems).Proven ability to design scalable, secure, and intelligent enterprise environments across multiple business models and tech stacks.Strong leadership and stakeholder management skills - confident influencing C-level stakeholders and guiding diverse teams toward a shared vision.Deep understanding of ERP, CRM, HCM, and how to evolve them for an AI-enabled future.Domain knowledge in retail, FMCG, manufacturing, pharma, or other consumer-facing sectors is highly valued.